Dr. Norman Meuschke
Senior Lecturer
RESEARCH INTERESTS
My main research interests are methods for semantic similarity analysis and their application for information retrieval. Beyond my core research, I am interested in applied data science and knowledge management challenges and the application of blockchain technology to tackle these challenges.
My research spans the fields of:
- Information Retrieval (esp. for text, images, and mathematical content)
- Natural Language Processing
- Plagiarism Detection
- Citation and Link Analysis
- Blockchain Technology
- Information Visualization
For details on specific projects, please see the links on the right or my publications below.
DOCTORAL THESIS
Analyzing Non-Textual Content Elements to Detect Academic Plagiarism
University of Konstanz, 2021.
Grade: summa cum laude (excellent)
Winner of the Airbus Research Award “Claude Dornier” 2022 (more information).
PDF | DOI | BibTeX | Springer Book
Resources for my thesis (Data and source code, recording and slides of my doctoral defense)
Ceremony for Airbus Research Award “Claude Dornier” 2022
TEACHING & PROJECTS
I very much enjoy collaborating with other researchers and students. If you are interested in my research, please do not hesitate to contact me. If you are a student looking for a bachelor’s or master’s project or thesis, please see the various topics I offer related to all areas of my research at our students corner.
SHORT CV
05/2022 – present
Researcher
Scientific Information Analytics Group, University of Göttingen
09/2018 – 04/2022
Researcher
Data & Knowledge Engineering Group, University of Wuppertal
03/2015 – 08/2018
Researcher
Information Science Group, University of Konstanz
03/2014 – 02/2015
Visiting Researcher
National Institute of Informatics Tokyo, Japan
08/2011 – 02/2014
Visiting Researcher
University of California, Berkeley, US
SELECTED PUBLICATIONS
Analyzing Non-Textual Content Elements to Detect Academic Plagiarism
N. Meuschke
Springer Fachmedien, Wiesbaden, 2023.
(PDF DOI)
Incentive Mechanisms in Peer-to-Peer Networks — A Systematic Literature Review
C. Ihle, D. Trautwein, M. Schubotz, N. Meuschke, B. Gipp
ACM Computing Surveys, vol. 55, iss. 14, p. 308:1-308:69, 2023.
(PDF DOI)
Academic Plagiarism Detection: A Systematic Literature Review
T. Foltynek, N. Meuschke, B. Gipp
ACM Computing Surveys, vol. 52, iss. 6, p. 112:1-112:42, 2019.
(PDF DOI BibTeX)
HyPlag: A Hybrid Approach to Academic Plagiarism Detection
N. Meuschke, V. Stange, M. Schubotz, B. Gipp
Proc. Int. ACM SIGIR Conf. on Research and Development in Information Retrieval (SIGIR), 2018
(PDF DOI BibTeX)
Analyzing Mathematical Content to Detect Academic Plagiarism
N. Meuschke, M. Schubotz, F. Hamborg, T. Skopal, B. Gipp
Proc. ACM Int. Conf. on Information and Knowledge Management (CIKM), 2017.
(PDF DOI BibTeX)
MEDIA COVERAGE
New DFG Project about math retrieval
The DFG, Germany’s organization for research funding, has awarded our group a 3-year research grant for our project: “Methods and Tools to Advance the Retrieval of Mathematical Knowledge from Digital Libraries for Search-, Recommendation- and Assistance-Systems” (Click here for more [...]
Best Student Paper Award at the JCDL 2017
Felix Hamborg and Norman Meuschke received the Best Student Paper Award for their paper Matrix-based News Aggregation: Exploring different News Perspectives; at the A* ranked Joint Conference on Digital Libraries (JCDL) 2017.
Norman Meuschke represents ACM SIGIR at the 50th Turing Award Celebration
The Special Interest Group on Information Retrieval (SIGIR) within the Association for Computing Machinery (ACM) has selected Norman Meuschke as one of ten students to represent SIGIR at the 50th ACM Turing Award Celebration in San Francisco, on June 23 - [...]
Media coverage of our CitePlag research
Several media outlets recently covered our research on Plagiarism Prevention and Detection and our prototype system CitePlag. Articles appeared in the national daily newspaper "Die Welt" and the regional daily newspaper "Schwäbische Zeitung". The national public radio broadcaster "Deutschlandradio" covered CitePlag on their website and [...]
Article about CitePlag in uni’kon
An article about our plagiarism detection system CitePlag appeared in uni'kon #59. Click on the picture to see the article in high resolution.
CitePlag received a makeover
CitePlag is the first prototype of a citation-based Plagiarism Detection (CbPD) System. The prototype was recently demonstrated at the SIGIR conference 2013. What makes CitePlag novel? In contrast to existing text-based approaches to plagiarism detection, CitePlag does not solely analyze literal text matches to determine document [...]
